{"title":"Enhancing Chinese EFL University Students’ self-regulated learning through AI chatbot intervention: Insights from achievement goal theory","authors":"Juan Gu , Quanyong Liu","doi":"10.1016/j.lmot.2025.102191","DOIUrl":null,"url":null,"abstract":"<div><div>This study explores the impact of AI chatbot-supported instruction on university students’ self-regulated learning (SRL) behaviors in English as a Foreign Language (EFL) contexts through the lens of Achievement Goal Theory (AGT). Adopting a mixed-methods quasi-experimental design with both quantitative (ANCOVA) and qualitative (thematic analysis) components, the research involved 62 first-year students from a Chinese university, with one group receiving teacher-guided chatbot intervention and the other engaging in regular instruction. Quantitative results revealed significant improvements in goal setting, task strategies, and time management among students in the experimental group, while showing minimal or negative change in environment structuring, help seeking, and self-evaluation. Thematic analysis of post-intervention interviews indicated that students perceived the chatbot as enhancing planning efficiency and task engagement, though concerns of over-reliance and reduced reflection emerged. Interpreted through AGT, the study contributes to theoretical understandings of motivation in AI-assisted education and offers practical insights for designing pedagogically guided chatbot interventions in EFL learning environments.</div></div>","PeriodicalId":47305,"journal":{"name":"Learning and Motivation","volume":"92 ","pages":"Article 102191"},"PeriodicalIF":4.4000,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Learning and Motivation","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0023969025000980","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/15 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"PSYCHOLOGY, BIOLOGICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This study explores the impact of AI chatbot-supported instruction on university students’ self-regulated learning (SRL) behaviors in English as a Foreign Language (EFL) contexts through the lens of Achievement Goal Theory (AGT). Adopting a mixed-methods quasi-experimental design with both quantitative (ANCOVA) and qualitative (thematic analysis) components, the research involved 62 first-year students from a Chinese university, with one group receiving teacher-guided chatbot intervention and the other engaging in regular instruction. Quantitative results revealed significant improvements in goal setting, task strategies, and time management among students in the experimental group, while showing minimal or negative change in environment structuring, help seeking, and self-evaluation. Thematic analysis of post-intervention interviews indicated that students perceived the chatbot as enhancing planning efficiency and task engagement, though concerns of over-reliance and reduced reflection emerged. Interpreted through AGT, the study contributes to theoretical understandings of motivation in AI-assisted education and offers practical insights for designing pedagogically guided chatbot interventions in EFL learning environments.
期刊介绍:
Learning and Motivation features original experimental research devoted to the analysis of basic phenomena and mechanisms of learning, memory, and motivation. These studies, involving either animal or human subjects, examine behavioral, biological, and evolutionary influences on the learning and motivation processes, and often report on an integrated series of experiments that advance knowledge in this field. Theoretical papers and shorter reports are also considered.